Schedule

PRE-REGISTRATION

12:30 – 5:30

Tutorial Session: RapidMiner 101

Presented by RapidMiner University

This is an introductory session geared for users who are not yet familiar with RapidMiner or only have a little experience with RapidMiner. This session will cover topics like: navigating the interface and basic setup; process building; loading and working with data; using common predictive models; tools to continue learning.

Welcome Event:

CONFERENCE DAY ONE

Welcome

Opening Remarks

Keynote Address

BigData and Old Data: Challenges of Embedding Predictive Analytics in Real Applications and Processes

By Usama Fayyad, Barclays Bank Chief Data Officer

This presentation will cover issues and challenges in how do you make the benefits of advanced analytics fit with the business or target area of application? What are the true challenges of imbedding data mining insights and models into production processes and live deployments? He will explore real-time data streaming and in situ data mining as well as the changing data landscape: BigData, unstructured data, Hadoop and how does predictive analytics fit in the new world.

Usama Fayyad, a pioneer in predictive analytics, is currently chief data officer and group managing director at Barclays Bank and chairman at Oasis500. Previously, Fayyad has served as chairman and CTO at ChoozOn Corporation (Blue Kangaroo), founded Open Insights LLC and was Yahoo’s chief data officer. He co-founded the DMX Group and Audience Science (digiMine, Inc.) and led data mining and exploration at Microsoft Research. He also worked at NASA.

11:10 – 11:30

Break

11:30 – 1:00

RapidMiner Case Studies

Hear how RapidMiner is being used to drive cross-sell marketing with dozens of clients across multiple industries by this leading direct marketing services company.

Gameshow: Who Wants To Be A Data Scientist?

Social Event

Evening Dinner

The Lighthouse Room, Seaport Hotel

9:00 – 9:15

CONFERENCE DAY TWO

Coffee

9:15 – 10:00

Keynote Address

Temporal Semantic Analysis of Edison’s patents

By Michael Skinner, Patent Analytics Manager, Intel

This presentation explores why we don’t have 20/20 hindsight when it comes to performing searches in technology areas and proposes a solution. By analyzing the patents of Thomas Edison, this session showcases how temporal semantic analysis can be used to explore the evolution of technology and studies the patterns of word usage over time.

Michael Skinner is a principal patent analyst working in Intel Legal. He works to develop Statistical and Textual methods to analyze patents. Over 30 years working in technology research, development and manufacturing in the electronics field, Michael is currently working to develop novel methods of extracting information from anaplastic* groups of patents.

* Undifferentiated cells are said to be anaplastic

10:00 – 10:30

Product Roadmap

Take a glimpse at what we have planned for the next versions of RapidMiner

By Giuseppe Taibi, CPO, RapidMiner

10:30 – 11:00

Case Studies

Learn how RapidMiner is used in a Risk Analytics Engine capable of scanning large amounts of structured and unstructured data, automatically flagging potential problems and issues for further investigation.

By Kleber Gallardo, Alivia Technology

11:00 – 11:20

Break

11:20 – 12:45

Partner Showcase

Mining Financial Markets with RapidMiner

By Sheamus McGovern

From Data to Measurable Revenue: Prescriptive Analytics with RapidMiner

Boston Tea Party Challenge Results

Closing Remarks

By Ingo Mierswa

4:40-5:30

Networking

Light Refreshments

9:00-12:30

Tutorial Session: RapidMiner 201

Presented by RapidMiner University

This session takes a deeper dive into RapidMiner than the 101 session from Monday. Here, we will look into ways to make RapidMiner work better for you, like: interface tips, quick fixes, process design practices, commenting, custom perspectives, reusable building blocks.

12:30-1:30

Lunch

1:30-3:30

Certification Exams: Analyst, Expert, Master Levels

It is highly recommended that you have attended RapidMiner University courses before taking certification exams. However, Expert exam requires previous Analyst certification and Master exam requires previous Expert certification.